Patient Journey Optimization Using a Multi-Agent Approach

Choi, Chung-ho; Cheung, William K.; Liu, Jiming; Cheung, Ian T.

doi:10.5220/0002693901810186

Proceedings of the Third International Conference on Health Informatics 2010

DOI: 10.5220/0002693901810186

|View full text |Cite

Patient Journey Optimization Using a Multi-Agent Approach

Chung-ho Choi

William K. Cheung

Jiming Liu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2010

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 10 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

A multi-agent resource allocation framework for patient journey shortening

Choi

Cheung

2010

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

View full text Add to dashboard Cite

The fast growing and dynamic demands on the existing complex healthcare services make healthcare resource management challenging. The focus of this paper is on cancer patient journey shortening with better allocation of resources. The issue is non-trivial as improving the experience of any patient may however affect that of the others who are sharing the same pool of resources allocated to different medical units. In particular, we study how additional resources, if available, can be strategically allocated to the medical units involved in cancer treatment in a dynamic manner to achieve better patient journey shortening effect. A multi-agent resource allocation approach is adopted and a 3-level bidding mechanism designed based on the organizational structure of the public hospitals in Hong Kong is proposed. The journey shortening is achieved via the design of the bid formulation so that the additional resources can be allocated on-demand to medical units. To demonstrate the effectiveness of the proposed framework and its variants on journey shortening, we developed a simulation model based on an anonymized dataset obtained from Hospital Authority in Hong Kong and carried out a series of experiments with promising results obtained.

show abstract

A multi-agent resource allocation framework for patient journey shortening

Choi

Cheung

2010

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Patient Journey Optimization Using a Multi-Agent Approach

Cited by 1 publication

References 10 publications

A multi-agent resource allocation framework for patient journey shortening

A multi-agent resource allocation framework for patient journey shortening

Contact Info

Product

Resources

About